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Trait-Relevant Tasks Improve Personality Prediction From Structural-Functional Brain Network Coupling.

Code ↔ Paper

5 matches between paragraphs of the paper and lines of its authors' code, computed by the harvester (lexical-v1). Click a colored paragraph or line to see its counterpart.

The 5 matches · 3 of them tie a paragraph to a whole file, not to given lines: weak matches, whose lines are not tinted
  1. [1] § Materials and Methods › Neuroimaging Data Acquisition and Preprocessing › Diffusion‐Weighted Imaging ↔ subject_preprocess.sh, the whole file · a weak match · score 0.80 · MRtrix, bias, fiber, shell, tissue, preprocessed
  2. [2] § Materials and Methods › Participants ↔ Replication Analysis/select_subjects_replication.m, lines 39–149 · score 0.73 · head motion, framewise displacement, fMRI, FD, spikes, scores
  3. [3] § Materials and Methods › Neuroimaging Data Acquisition and Preprocessing › Functional Magnetic Resonance Imaging ↔ src/regress.py, lines 185–239 · score 0.65 · global signals, motion parameters, preprocessed, regressed
  4. [4] § Materials and Methods › Structural‐Functional Brain Network Coupling and Personality Traits › Prediction of Personality: Brain Region‐Specific Level › Basic Node‐Measure Assignment Model (B‐NMA): Pers ↔ Main Analysis/get_init_parameters.m, the whole file · a weak match · score 0.57 · cross validation, fMRI, fold, regression, node, masks
  5. [5] § Materials and Methods › Neuroimaging Data Acquisition and Preprocessing › Diffusion‐Weighted Imaging ↔ subject_tractography.sh, the whole file · a weak match · score 0.53 · MRtrix, tractography, seeds, max, HCP, Weighted

Paper

Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC

The paper is loaded when this pane is shown.

The authors' code

Shell · 82 lines · 3 KB · MIT · 1 match

  1. #!/bin/bash -v
  4. ################################################################################
  5. #
  6. # subject_preprocess
  7. # ----------------
  8. #
  9. # Pre-process the dMRI data for a single HCP subject using multi-shell CSD
  10. #
  11. ################################################################################
  12. #
  13. # Usage : subject_preprocess.sh
  14. # (should be ran at the top of the subject's directory tree structure.
  15. # Directory tree structure must include:
  16. # 1) data.nii.gz - dwi data
  17. # 2) bvecs - diffusion directions
  18. # 3) bvals - b-values for each direction
  19. # 4) T1w_acpc_dc_restore_brain.nii.gz - structural image
  20. #
  21. # Output : Preprocessed files required for tractography:
  22. # 1) wmfod_norm.mif - Fiber Orientation Distribution image
  23. # 2) 5TT.mif - 5 tissue image
  24. # (additional intermediate files are generated as well)
  25. #
  26. # Notes : Ensure enough space in /tmp directory as some MRtrix commands copy
  27. # there .mif files for processing (e.g., dwi2response).
  28. #
  29. # Home directory must include startup_fsl.sh
  30. #
  31. # Remove call to mrview if running in batch
  32. #
  33. # HCP data is already is already reoriented to AC-PC
  34. #
  35. # Author : Oren Civier
  36. # Version: 1.01
  37. # Date : 15/8/2018
  38. #
  39. ################################################################################
  41. source ~/startup_fsl.sh
  42. alias alert='notify-send --urgency=low -i "$([ $? = 0 ] && echo terminal || echo error)" "$(history|tail -n1|sed -e '\''s/^\s*[0-9]\+\s*//;s/[;&|]\s*alert$//'\'')"'
  44. # extracting data.nii.gz to enable memory-mapping. extracted files are about 4.5GB
  45. date
  46. gunzip -c data.nii.gz > data.nii; alert
  47. mrconvert data.nii DWI.mif -fslgrad bvecs bvals -datatype float32 -stride 0,0,0,1 -force -info; alert
  48. rm -f data.nii
  50. # perform mrconvert at the beginning between mif to mif with no options (why?)
  51. # runs multi-threded!
  52. date
  53. dwibiascorrect -ants DWI.mif DWI_bias_ants.mif -bias bias_ants_field.mif -force -info; alert
  54. rm -f DWI.mif
  56. # Extract response function. Uses -stride 0,0,0,1
  57. date
  58. dwi2response dhollander DWI_bias_ants.mif response_wm.txt response_gm.txt response_csf.txt -voxels RF_voxels.mif -force -info; alert
  60. date
  61. dwiextract DWI_bias_ants.mif - -bzero | mrmath - mean meanb0.mif -axis 3 -force -info; alert
  63. # run mreview to verify what voxels response function were taken from
  64. date
  65. mrview meanb0.mif -overlay.load RF_voxels.mif -overlay.opacity 0.5 -force -info
  67. # Generate mask
  68. date
  69. dwi2mask DWI_bias_ants.mif DWI_mask.mif -force -info; alert
  71. # Generate FODs
  72. date
  73. dwi2fod msmt_csd DWI_bias_ants.mif response_wm.txt wmfod.mif response_gm.txt gm.mif response_csf.txt csf.mif -mask DWI_mask.mif -force -info; alert
  74. rm -f DWI_bias_ants.mif
  76. # Perform normalization
  77. date
  78. mtnormalise wmfod.mif wmfod_norm.mif gm.mif gm_norm.mif csf.mif csf_norm.mif -mask DWI_mask.mif -check_norm mtnormalise_norm.mif -check_mask mtnormalise_mask.mif -force -info; alert
  80. # Generate a 5 tissue image
  81. date
  82. 5ttgen fsl T1w_acpc_dc_restore_brain.nii.gz 5TT.mif -premasked; alert

subject_preprocess.sh at commit 20ab012, under MIT · at the source

Overview

Authors: Johanna L. Popp1, Jonas A. Thiele1, Joshua Faskowitz2, Caio Seguin2,3, Olaf Sporns2, Kirsten Hilger1,4
ORCID iDs: Johanna L. Popp, Jonas A. Thiele, Joshua Faskowitz, Caio Seguin, Olaf Sporns, Kirsten Hilger
  1. Department of Psychology I Würzburg University Würzburg Germany
  2. Department of Psychological and Brain Sciences Indiana University Bloomington Indiana USA
  3. Department of Psychiatry The University of Melbourne Parkville Victoria Australia
  4. Department of Psychology Vinzenz Pallotti University Vallendar Germany
Institutions: University of Würzburg (Germany); Indiana University Bloomington (United States); The University of Melbourne (Australia); Indiana University (United States); Vinzenz Pallotti University (Germany)
Journal: Human brain mapping, volume 47, issue 7, article e70533
Dates: received 23 October 2025; accepted 11 April 2026; published online 28 April 2026; in print May 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1002/hbm.70533 · PMID 42050765 · PMCID PMC13124662 · OpenAlex W4414272705
Open access: gold, a free copy (OpenAlex)
Preprint: doi:10.1101/2025.09.17.676801
Status: code verified
Categories: structural MRI / diffusion (modality), human (organism), cognitive (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning, Connectivity, Graphs, fMRI & imaging
Keywords: big five personality traits, brain connectivity, network communication models, structural‐functional brain network coupling, trait‐relevance
MeSH: Brain*, Connectome*, Individuality*, Nerve Net*, Personality*, Social Cognition*, Adult, Diffusion Magnetic Resonance Imaging, Female, Humans, Magnetic Resonance Imaging, Male, Neural Pathways, Young Adult (* major topic)
Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Deutsche Forschungsgemeinschaft (HI2185/1‐3, HI2185/2‐1); Studienstiftung des Deutschen Volkes (German National Academic Foundation); Heinrich Böll Stiftung (P145957); Open Access Fund University of Würzburg
Citations: not cited yet (Europe PMC); 80 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Repositories

Its files are read in the Code ↔ Paper reader above, with 5 matches between paragraphs and lines of code.

civier/HCP-dMRI-connectome

License: MIT
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: 20ab0129bbf84d6fb01f79c631072dc2ad1f1d50, 24 December 2022
Languages: Shell (4)
Size: 6 files, 4 scripts
Software Heritage: not archived
Found in: “Data Availability Statement”
Holds: README, license file
Not found: CITATION.cff, environment file, tests, continuous integration, documentation
Tools: MRtrix3 (2 files)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
6 files
At the source: github.com/civier/HCP-dMRI-connectome

faskowit/app-fmri-2-mat

License: MIT
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: 2eef29115cb49126547400423d0f9ff681988cc9, 23 May 2021
Languages: Python (4), Shell (1)
Size: 13 files, 5 scripts
Software Heritage: archived
Found in: “Data Availability Statement”
Holds: README, license file, environment (Dockerfile)
Not found: CITATION.cff, tests, continuous integration, documentation
Tools: NiBabel (3 files), Nilearn (3 files), pandas (3 files), NumPy (2 files), h5py (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
7 files
At the source: github.com/faskowit/app-fmri-2-mat

jonasAthiele/BrainReconfiguration_Intelligence

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: 66fcd980345d4e68f7598eb56abdb4ad520c4630, 27 June 2022
Languages: MATLAB (22), R (1)
Size: 32 files, 23 scripts
Software Heritage: not archived
Found in: “Data Availability Statement”
Holds: README
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: Statistics and Machine Learning Toolbox (8 files), fdr_bh (Benjamini-Hochberg FDR) (3 files), ggplot2 (1 file), lavaan (1 file), Image Processing Toolbox (1 file), psych (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
24 files, not copied: shown from their source

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At the source: github.com/jonasAthiele/BrainReconfiguration_Intelligence

brain-networks/local_scfc

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: 9f418715b2178706c9e3193bf71a56a9854560ec, 5 June 2021
Languages: MATLAB (12)
Size: 14 files, 12 scripts
Software Heritage: archived
Found in: “Data Availability Statement”
Holds: README
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: Brain Connectivity Toolbox (3 files), Statistics and Machine Learning Toolbox (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
13 files, not copied: shown from their source

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johannaleapopp/SC_FC_Coupling_Task_Personality

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: 09ef96e60d499cec7b3c39a791c4a58b21c48f86, 16 September 2025
Languages: MATLAB (121)
Size: 187 files, 121 scripts
Software Heritage: not archived
Found in: “Data Availability Statement”
Holds: README, 69 notebooks
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: Statistics and Machine Learning Toolbox (6 files), Brain Connectivity Toolbox (2 files), FreeSurfer (2 files), Violinplot-Matlab (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
122 files, not copied: shown from their source

OSCR keeps no copy of these files: this repository has no license that allows it. The reader above shows each one from its source, fetched by your browser at commit 09ef96e, when its fingerprint is the one OSCR verified. How this works.

At the source: github.com/johannaleapopp/SC_FC_Coupling_Task_Personality

Zenodo 17131036

License: CC-BY-4.0
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Size: 1 file
Software Heritage: not checked
Found in: the references
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: Statistics and Machine Learning Toolbox (6 files), Brain Connectivity Toolbox (2 files), FreeSurfer (2 files), Violinplot-Matlab (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)
122 files
At the source:

The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

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  • 286 scripts, each with its path and the digest of its content;
  • 5 matches between paragraphs of the paper and lines of the code (method lexical-v1);
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Data

Datasets cited

Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1002/hbm.70533.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 6 authors, 5 keywords, 14 MeSH terms, 4 funders, 75 references.

Cite

This paper

Popp, J. L., Thiele, J. A., Faskowitz, J., Seguin, C., Sporns, O., & Hilger, K. (2026). Trait-Relevant Tasks Improve Personality Prediction From Structural-Functional Brain Network Coupling. Human brain mapping, 47(7), e70533. https://doi.org/10.1002/hbm.70533

BibTeX

@article{popp2026trait,
author = {Popp, Johanna L. and Thiele, Jonas A. and Faskowitz, Joshua and Seguin, Caio and Sporns, Olaf and Hilger, Kirsten},
title = {{Trait-Relevant Tasks Improve Personality Prediction From Structural-Functional Brain Network Coupling}},
journal = {Human brain mapping},
year = {2026},
month = may,
volume = {47},
number = {7},
pages = {e70533},
publisher = {Wiley},
issn = {1065-9471},
doi = {10.1002/hbm.70533},
url = {https://doi.org/10.1002/hbm.70533},
pmid = {42050765},
pmcid = {PMC13124662}
}

RIS

TY - JOUR
AU - Popp, Johanna L.
AU - Thiele, Jonas A.
AU - Faskowitz, Joshua
AU - Seguin, Caio
AU - Sporns, Olaf
AU - Hilger, Kirsten
TI - Trait-Relevant Tasks Improve Personality Prediction From Structural-Functional Brain Network Coupling
T2 - Human brain mapping
J2 - Hum Brain Mapp
PY - 2026
DA - 2026/05/01
VL - 47
IS - 7
SP - e70533
SN - 1065-9471
PB - Wiley
DO - 10.1002/hbm.70533
UR - https://doi.org/10.1002/hbm.70533
LA - en
ER -

CSL-JSON

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